How to Detect Outliers with IQR and Boxplot? | Code Walkthrough in Python

[@machinelearningplus]

I teach complete ML Mastery Roadmap (self paced courses) to master Data Science from scratch: edu.machinelearningplus.com/s/pages/ds-career-path

[@machinelearningplus]

Useful Links: Notebooks and Datasets: github.com/machinelearningplus/Build-Your-First-ML-Project/tree/main/12_How%20to%20detect%20Outliers%20with%20IQR%20and%20Box%20Plots "Build your first ML project" - Full Playlist: kzbin.info/www/bejne/gYTWm4OYpNx7h5I Next Video: How to detect outliers with Z Scores kzbin.info/www/bejne/h6eVp3asnrFnn7c Machine Learning Plus Complete University Access: The Ultimate resource to prepare for a successful AI & Data Science Career. edu.machinelearningplus.com/s/pages/ds-career-path Join ML+ Complete University Access: edu.machinelearningplus.com/courses/ML-Mastery-63f0ad14e4b026def5ff352d Website: www.machinelearningplus.com

[@osoriomatucurane9511]

Awesome tutorial. You did not explain the code that accounts for plotting multiple box plots. Where/how did you get input_numerical columns????

[@machinelearningplus]

It is declared earlier in the code.. please see here: github.com/machinelearningplus/Build-Your-First-ML-Project/blob/main/12_How%20to%20detect%20Outliers%20with%20IQR%20and%20Box%20Plots/12_How%20to%20Detect%20Outliers%20with%20IQR%20and%20Boxplot.ipynb

[@brunocesarpasquini]

I liked this explanation, I would like to try it by myself, but I have not found the link for the dataset. Where is it?

[@machinelearningplus]

Sure, you can find it here: github.com/machinelearningplus/Build-Your-First-ML-Project/blob/main/12_How%20to%20detect%20Outliers%20with%20IQR%20and%20Box%20Plots/12_How%20to%20Detect%20Outliers%20with%20IQR%20and%20Boxplot.ipynb Dataset is present in same repo.